code: def group_strs_with_regex_patterns(strings, regex_patterns):
      """Given a list/tuple of strings (``strings``), it partitions it into various groups (sub-lists) as
      specified in a set of patterns given in ``regex_patterns``. Note that the order
      of patterns matter as patterns will be consumed sequentially and if two patterns
      overlap, the one appearing first will get the string assigned to its group.
      Also note that the result will be a partition (``str_groups``) without overlap
      and any remaining element not satisfying any pattern will be returned in ``remainder``.
  
      Parameters
      ----------
      strings : `list` [`str`] or `tuple` [`str`]
          A list/tuple of strings which is to be partitioned into various groups
      regex_patterns : `list` [`str`]
          A list of strings each being a regex.
  
      Returns
      -------
      result : `dict`
          A dictionary with following items:
  
          - "str_groups": `list` [`list` [`str`]]
              A list of list of strings each corresponding to the patterns given in
              ``regex_patterns``. Note that some of these groups might be empty
              lists if that pattern is not satisfied by any regex pattern, or a
              regex pattern appearing before has already consumed all such strings.
          -"remainder": `list` [`str`]
              The remaining elements in ``strings`` which do not satisfy any of the
              patterns given in ``regex_patterns``. This list can be empty.
  
      """
  
      strings_list = list(strings)
      str_groups = []
  
      for regex_pattern in regex_patterns:
          group = [
              x
              for x in strings_list
              if bool(re.match(regex_pattern, x))
          ]
          str_groups.append(group)
          strings_list = [x for x in strings_list if x not in group]
  
      return {"str_groups": str_groups, "remainder": strings_list}
  
imports: import copy
  import dataclasses
  import functools
  import math
  import re
  import warnings
  from dataclasses import field
  from typing import List
  import numpy
  import pandas
  from pandas.testing import assert_frame_equal
  from pandas.testing import assert_index_equal
  from pandas.testing import assert_series_equal
label_desc: Use image node_id 16 for calling a global function with example usage: group_strs_with_regex_patterns(strings, regex_patterns) and returns: dict